G. Sullivan Read

2.1k citations
31 papers · 1.8k · h-index 24

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 28
    • Cytomegalovirus and herpesvirus research 4
    • Virus-based gene therapy research 15

G. Sullivan Read

31 papers receiving 1.7k citations

Peers

G. Sullivan Read
Comparison fields: 5 of 63
  • Virology 215
  • Epidemiology 1.4k
  • Immunology 539
  • Genetics 523
  • Cardiology and Cardiovascular Medicine 377
Replace Steven L. Bachenheimer with:
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Amy E. Sears United States
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G. Sullivan Read relative to Steven L. Bachenheimer United States Steven L. Bachenheimer's profile →
Citations per field
00.5×2.8×
Steven L. Bachenheimer · 1×
Citations per year

Countries citing papers authored by G. Sullivan Read

Since Specialization
Citations

This map shows the geographic impact of G. Sullivan Read's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Sullivan Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sullivan Read more than expected).

Fields of papers citing papers by G. Sullivan Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Sullivan Read. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Sullivan Read. The network helps show where G. Sullivan Read may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Sullivan Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Sullivan Read Line = papers co-authored together G. Sullivan Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983252
2 1989194
3 2002137
4 1993134
5 1992116
6 2005101
7 200187
8 198774
9 199165
10 199963
11 201060
12 199747
13 197645
14 199544
15 198038
16 201034
17 201333
18 201233
19 199932
20 198231

About G. Sullivan Read

G. Sullivan Read is a scholar working on Epidemiology, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (28 papers), Virus-based gene therapy research (15 papers), Viral Infections and Immunology Research (11 papers), RNA regulation and disease (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Virology (215 citations), Epidemiology (1.4k citations), Immunology (539 citations), Genetics (523 citations) and Cardiology and Cardiovascular Medicine (377 citations). G. Sullivan Read has collaborated with scholars based in United States and Canada. Frequent co-authors include David N. Everly, Asha Oroskar, N Frenkeĺ, Pinghui Feng, Shahzad I. Mian, E W Holmes, Nell S. Lurain, Kim D. Thompson, Lora A. Shiflett and William C. Summers. Their work appears in journals such as Journal of Virology, Virology, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Wiley Interdisciplinary Reviews - RNA.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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